Topic: Advancements in Variational Data Assimilation

Friday, February 2, 2024 from 08-10 UTC (***SPECIAL TIME***)

Organisers and Conveners: Massimo Bonavita (ECMWF, UK),  Ross Bannister (University of Reading, UK), Ting-Chi Wu (CWB, Taiwan), James Taylor (RIKEN, Japan)

Join us in a deep dive into the world of Variational Data Assimilation. This session is dedicated to exploring new frontiers in variational methods, crucial for the advancement of data assimilation across diverse domains. We welcome contributions that shed light on recent developments, tackle complex challenges, and demonstrate the wide-ranging applications of variational data assimilation, pushing the boundaries and efficiency in predictive modeling.

Session recordings (RIKEN website / Youtube)

Questions asked during the event (Yopad)

Program / Abstracts (PDF download)


  • Bridging classical variational data assimilation and optimal transport
    Marc Bocquet (CEREA, France)
  • Accounting for correlated observation error in variational ocean data assimilation
    Olivier Goux (CERFACS/CECI, France)
  • Data assimilation as variational inference. Full posterior estimation using the 4DVAR cost
    Arthur Filoche (U. Western Australia)
  • Deviation of skin increments using all-sky microwave observation for use in a coupled atmosphere-ocean system
    Tracy Scanlon (ECMWF)
  • Towards higher resolution data assimilation in ECMWF IFS
    Ziga Zaplotnik (ECMWF)

Time Zones: 08 10 UTC
Europe:            08 – 10 am GMT (London)      | 09 – 11 am CET (Berlin)
Asia/Australia: 04 – 06 pm CST (Shanghai)   | 05 – 07 pm JST (Tokyo)      | 07 – 09 pm AEDT (Sydney)
Americas:        12pm – 02 am PST (San Fran.)  | 01 – 03 am MST (Denver)   | 03 – 05 am EST (New York)

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